Artifact: Technical Strategy Doc — Everline Platform Team

A one-page technical strategy tying team bets to product outcomes with explicit trade-offs -- exercises co-12, co-14. Everline and every name here are fictional; every number is an illustrative, constructed example.

Bet 1 -- migrate the ETL pipeline from batch to streaming. Ties to: reducing the dashboard-alerts feature's data latency from ~15 minutes to under 1 minute, which is the specific gap product has flagged as blocking a premium-tier alerting offer. Trade-off: streaming infrastructure is more operationally complex than batch, meaning higher on-call learning curve for at least one quarter while the team builds streaming-specific runbooks.

Bet 2 -- adopt schema-registry contract testing across every producer/consumer boundary. Ties to: cutting cross-team schema-break incidents (2 last month alone) toward zero, protecting both Platform's and Data Science's on-call load. Trade-off: every schema change gets a mandatory contract-test gate, adding a small amount of friction to changes that used to ship immediately.

Bet 3 -- reduce on-call noise by tuning alert thresholds and removing alerts with no actionable runbook. Ties to: engineer retention -- pager fatigue was the top cited reason in this quarter's team survey for two people considering leaving the on-call rotation entirely. Trade-off: a small number of real-but-rare issues will surface later (via the next day's dashboard check instead of a page) rather than immediately.

Explicitly not this year: a full rewrite of the ingestion service in a different language -- real cost, no stated product outcome justifies it right now.